Author Login IJIRT Partner Network (IPN) Login

Detecting Deepfakes using MesoNet Algorithm

  • Unique Paper ID: 163560
  • Volume: 10
  • Issue: 11
  • PageNo: 2390-2395
  • Abstract:
  • In order to address the problems of disinformation and possible security system risks brought on by deepfake technology, the study attempts to construct a detection model utilizing Mesonet to distinguish actual photos from deepfakes. A neural network model is being trained on a collection of genuine and deepfake pictures using Mesonet. By recognising deepfake photos, our model will help detect and stop security risks and false information.By improving the capacity to identify and stop the propagation of deepfake photos, our effort will lessen the potential harm brought about by false information and protect the security of face recognition systems.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 11
  • PageNo: 2390-2395

Detecting Deepfakes using MesoNet Algorithm

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry